Model save
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- emissions.csv +2 -0
README.md
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---
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: llama3-sft-pc-v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama3-sft-pc-v1
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.14.7
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- Tokenizers 0.19.1
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-04-28T01:42:25,codecarbon,e07e55f2-1e60-4170-9bfa-f39aab941c70,8454.040267705917,0.3164642648235365,3.7433493903786676e-05,42.5,89.351,31.29792451858521,0.0998036218350133,0.6774208437671706,0.0734859237083985,0.8507103893105821,Singapore,SGP,,gcp,asia-southeast1,Linux-5.15.0-1058-gcp-x86_64-with-glibc2.31,3.11.5,2.2.3,12,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x NVIDIA A100-SXM4-40GB,,,83.46113204956055,machine,Y,1.0
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